{"id":"W2772961895","doi":"10.1073/pnas.1714640114","title":"Human genetic variation alters CRISPR-Cas9 on- and off-targeting specificity at therapeutically implicated loci","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Howard Hughes Medical Institute","keywords":"CRISPR; Genome editing; Biology; Cas9; Indel; Computational biology; Genetics; Human genome; Genome; Genetic variation; Single-nucleotide polymorphism; Population; Gene; Genotype; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003822382,0.0003110328,0.0004313238,0.0003350689,0.0001601573,0.0003261661,0.000197254,0.0004512801,0.001654344],"category_scores_gemma":[0.0005447478,0.0001938857,0.0003561652,0.000298015,0.0004071724,0.0001146281,0.0002691081,0.0004398694,0.0002093838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180523,"about_ca_system_score_gemma":0.0003092242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006486,"about_ca_topic_score_gemma":0.002010979,"domain_scores_codex":[0.9993518,0.000181442,0.00006590883,0.0001816867,0.000138121,0.00008115804],"domain_scores_gemma":[0.9996938,0.000127909,0.00008010784,0.00004282637,0.000018898,0.00003648483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001993488,0.00006890683,0.003604106,0.0000617476,0.00009225556,0.0002346031,0.0000346593,0.001510649,0.9864221,0.0004705478,0.00009715772,0.007203851],"study_design_scores_gemma":[0.00006311531,0.0009518111,0.05586446,0.0000330007,0.0002197902,0.002613993,0.00008404863,0.00630192,0.9276856,0.0008743939,0.005251169,0.0000567073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926958,0.0005308991,0.004563326,0.00008395927,0.00002355452,0.00002296181,0.0003681301,0.00009099154,0.0016204],"genre_scores_gemma":[0.9962178,0.00023669,0.002659401,0.000104524,0.000004107871,0.00001041665,0.0002642677,0.00004681658,0.0004558784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001654344,"threshold_uncertainty_score":0.005534351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202782964252249,"score_gpt":0.3462214426664476,"score_spread":0.3141936130239251,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}